This article studies the impact of stochastic stealthy false data injection attacks on the
security of cyber-physical systems. The Kullback–Leibler divergence is used as the metric of …

In this paper, the problem of false data injection attacks for cyber-physical systems is
investigated. The Kullback–Leibler divergence is utilized to measure the stealthiness of the …

In this paper, the problem of designing the worst-case ϵ-stealthy false data injection attacks
in cyber-physical systems is investigated. The attacker attempts to degrade the remote state …

In this paper, we consider the security problem of dynamic state estimations in cyber–
physical systems (CPSs) when the sensors are compromised by false data injection (FDI) …

In this paper, the problem about the false data injection attacks on sensors to degrade the
state estimation performance in cyber-physical systems (CPSs) is investigated. The attack …

This paper is concerned with the problem of how secure the innovation-based remote state
estimation can be under linear attacks. A linear time-invariant system equipped with a smart …

This paper is concerned with the problem of designing successful false data injection attacks
in cyber-physical systems from the attacker's angle. A discrete linear time-invariant system is …

This paper primarily focuses on designing stealthy false data injection attacks targeting two
communication channels in cyber‐physical systems equipped with state estimators and …

This paper, from the view of a defender, addresses the security problem of cyber-physical
systems (CPSs) subject to stealthy false data injection (FDI) attacks that cannot be detected …

This paper mainly investigates how to maximally degrade estimation performance of a cyber–
physical system under limited resource. A stealthy false data injection (FDI) attack scheme is …